Papers
2
Total Citations
9
H-Index
2
About
Bihua Chen is a researcher whose work bridges the critical intersection of agricultural robotics and autonomous vehicle control. Their research primarily focuses on two key areas: the precise detection and manipulation of crops in complex environments, and the advanced control of mobile robotic systems. A major contribution is their development of a precise detection method for tomato fruit ripeness and picking points, published in 2025, which directly addresses the low accuracy challenges faced in automated harvesting within complex greenhouse settings. This work is foundational for enabling reliable robotic fruit picking. Earlier, Chen established expertise in vehicle dynamics with their 2011 paper on adaptive path following control for car-like mobile robots. That work introduced a nonlinear dynamic model that explicitly accounts for wheel side-slip friction forces, a critical factor for high-speed or heavy vehicles, making it a valuable reference for researchers in autonomous navigation. With a combined citation count of 9 across these foundational papers, Chen’s work is steadily gaining recognition for its practical impact on both agricultural automation and mobile robotics.
Research Focus
Key Achievements
Top Papers
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